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# Business Intelligence Developer - Power BI Specialist

- **Company:** Michael Page
- **Location:** Milton Keynes, UK
- **Experience:** Expert
- **Salary:** £60,000.0 - £65,000.0
- **Contract:** Permanent contract
- **Skills:** Data Integration, Extract Transform Load (ETL), Data Visualization, Database Queries, Power BI, Standard Sql, SQL Databases, Information Technology, Data Analytics, Tools for Reporting
- **Published:** August 30, 2026
- **Apply:** https://www.collegerecruiter.com/job/2815419409-business-intelligence-developer-power-bi-specialist

## About the Role

* Expert user of Power BI.
 * Proficient in SQL, DAX, and database querying for efficient financial data structuring.
 * Strong analytical and problem-solving skills.
 * Experience in the industrial/manufacturing industry is preferred.
 * Knowledge of data integration and management techniques.
 * Ability to create clear and effective data visualisations.
 * Excellent communication skills to engage stakeholders.
 * Proactive approach to identifying and implementing improvements.
 * Degree in a relevant field such as Computer Science, Data Analytics, or similar.

## Description

* Develop and maintain business intelligence solutions using Power BI.
 * Collaborate with teams to gather and analyse business requirements for analytics and reporting.
 * Work closely with FP&A teams to contribute to budgeting, forecasting, and scenario modelling by providing data-driven inputs and tools, building models that reflect business drivers and trends to improve forecast accuracy and agility in planning cycles.
 * Create and optimise dashboards and visualisations to support decision-making processes.
 * Ensure data accuracy and integrity across all reporting tools and systems.
 * Provide technical support and training to end-users on business intelligence tools.
 * Identify opportunities to improve data processes and implement solutions.
 * Integrate various data sources to provide comprehensive insights.
 * Apply ETL techniques (Extract, Transform, Load) for cleaning and consolidating data from different sources using SQL and other tools.
 * Maintain documentation for all analytics tools and processes.


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